CIO Business Intelligence

JULY 5, 2022

While quantitative analysis, operational analysis, and data visualizations are key components of business analytics, the goal is to use the insights gained to shape business decisions. What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

NOVEMBER 15, 2023

The CLEA dashboards were built on the foundation of the Well-Architected Lab. For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. They can use their own toolsets or rely on provided blueprints to ingest the data from source systems.

Dashboards 111

Dashboards Analytics Metadata Data Warehouse 111

AWS Big Data

DECEMBER 5, 2023

HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results. This frees up our local computer space, greatly automates the survey cleaning and analysis step, and allows our clients to easily access the data results.

Measurement 105

Measurement Dashboards Data Warehouse Analytics 105

AWS Big Data

JULY 18, 2024

The main driving factors include lower total cost of ownership, scalability, stability, improved ingestion connectors (such as Data Prepper , Fluent Bit, and OpenSearch Ingestion), elimination of external cluster managers like Zookeeper, enhanced reporting, and rich visualizations with OpenSearch Dashboards.

Dashboards 114

Dashboards Testing Data-driven Visualization 114

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

AWS Big Data

OCTOBER 11, 2023

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making.

Visualization 119

Visualization Dashboards Data-driven Gap analysis 119

FineReport

JUNE 7, 2024

In 2024, data visualization companies play a pivotal role in transforming complex data into captivating narratives. This blog provides an insightful exploration of the leading entities shaping the data visualization landscape.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

AWS Big Data

OCTOBER 11, 2023

Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.

Management 131

Management Metadata Analytics Dashboards 131

InsightOut

MAY 4, 2021

In this data-driven world, building a team of data analysts can be a challenge. Implementing data visualization and analytics dashboards can be the beginning of the data transformation journey.

Visualization 52

Visualization Dashboards Data-driven Data Transformation 52

CIO Business Intelligence

APRIL 30, 2024

Together the technologies aim to help business users and “novice” data analysts explore their data and gain insights without having to resort to data experts. This is really empowering everyone to be a data expert,” Maxon said. “It Shared Dimensions and Composable Data Sources. Metrics Bootstrapping.

Analytics 96

Analytics Metrics Visualization Dashboards 96

Wayne Yaddow

FEBRUARY 26, 2025

AI is transforming how senior data engineers and data scientists validate data transformations and conversions. Artificial intelligence-based verification approaches aid in the detection of anomalies, the enforcement of data integrity, and the optimization of pipelines for improved efficiency.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

AWS Big Data

DECEMBER 21, 2023

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides both visual and code-based interfaces to make data integration effortless. Choose Create job and Visual ETL.

Analytics 111

Analytics IT Data Lake Visualization 111

AWS Big Data

JANUARY 27, 2023

You can visualize the PCA insights in the business intelligence (BI) tool Amazon QuickSight for advanced analysis. In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes.

Analytics 85

Analytics Reporting Dashboards Visualization 85

Jen Stirrup

NOVEMBER 30, 2021

In this session, we will start R right from the beginning, from installing R through to data transformation and integration, through to visualizing data by using R in PowerBI. Then, we will move towards powerful but simple to use datatypes in R such as data frames. CuRious about R in Power BI?

Visualization 92

Visualization Dashboards Data Transformation Publishing 92

O'Reilly on Data

JANUARY 17, 2023

That takes us to a conspicuous omission from that list of roles: the data scientists who focused on building basic models. AutoML tools are doing most of that work now, in the same way that the basic dashboards or visualizations are now the domain of self-service tools like AWS QuickSight, Google Data Studio, or Tableau.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Their product is the data.

Testing 154

Testing Dashboards Measurement Experimentation 154

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 98

Dashboards Visualization Metrics Data Transformation 98

AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

Sisense

OCTOBER 15, 2020

Upsolver encapsulates the streaming engineering complexity by empowering every technical user (data engineers, DBAs, analysts, scientists, developers) to ingest, discover, and prepare streaming data for analytics. The impact of implementing these best practices is faster queries that will power Redshift and dashboards in Sisense.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. Amazon QuickSight dashboards showcase the results from the analyzer. This step creates datasets on QuickSight dashboards in your AWS target account.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation. This integration empowers users to go from data to predictions and visualizations faster than ever.

Dashboards 80

Dashboards Data-driven Data Integration Data Lake 80

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. The data warehouse is highly business critical with minimal allowable downtime. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

FineReport

APRIL 21, 2024

Lengthy Turnaround Time In the competitive landscape of analytics, swift delivery of insights is paramount to proving the value of data and analytics teams. The ability to create and deploy embedded dashboards quickly is essential for engaging clients and internal stakeholders. What Are the Main Benefits of Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

AUGUST 19, 2024

After the Pricing Summary Report is generated and stored in Amazon S3, the company can use AWS analytics services to generate interactive BI dashboards and run one-time queries on the report. On the Visual tab, choose Add nodes. Choose Data source – Snowflake in the AWS Glue Studio canvas. Choose the Job details tab.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

Sisense

DECEMBER 12, 2019

The 4 signs include: Reporting is done manually in Excel and is time consuming Difficulty pulling and joining data from multiple data sources Inability to access and utilize the data collected to see insights Need for data visualization in real time. Will every department need access to BI and dashboards?

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

SEPTEMBER 5, 2024

If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported. In scenarios where data transformation is required, you can use Redshift stored procedures to modify data in Redshift tables. AWS Glue 4.0

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

JULY 26, 2023

Plan In the planning phase, developers collect requirements from stakeholders such as end-users to define a data requirement. Every time the business requirement changes (such as adding data sources or changing data transformation logic), you make changes on the AWS Glue app stack and re-provision the stack to reflect your changes.

Data Integration 97

Data Integration Snapshot Testing Visualization 97

AWS Big Data

JUNE 29, 2023

Notebooks are provisioned quickly and provide a way for you to instantly view and analyze your streaming data. This pipeline could further be used to send data to Amazon OpenSearch Service or other targets for additional processing and visualization. View the stream data. Transform and enrich the data.

Data Analytics 103

Data Analytics Analytics IoT Data Lake 103

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9 Let’s refer to this S3 bucket as the raw layer.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

Cloudera

FEBRUARY 8, 2021

Simple, drag-and-drop building of dashboards and apps with Cloudera Data Visualization. Stock Data – for pulling the stock data, I used alpha vantage service (free version). Basically, this script does the following: a) Gets the daily stocks data from the alpha vantage. b) Basic data transformation.

Machine Learning 75

Machine Learning Statistics Dashboards Modeling 75

Alation

JANUARY 17, 2023

Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. You should pick those that allow for easy integration and can create beautiful data visualizations. These help data analysts visualize key insights that can help you make better data-backed decisions.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

Birst BI

FEBRUARY 25, 2020

The benefits of Birst’s cloud-native analytics platform powered by Snowflake’s world-class cloud data warehouse are numerous, especially as cloud becomes the first choice for enterprise data transformation initiatives. Mona Patel works in Infor’s Industry & Solution Strategy team.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52